Electroacupuncture Improves Learning and Memory Impairment in Rats with Cerebral Ischemia/Reperfusion Injury by Promoting Microglia/Macrophage M2 Polarization Through Nrf2/HO-1 Pat... by Xiao Y, Bai Y, Sun K, Wan J, Chen L, Chen S, Wang Y, Li W, Liu A

“…Yuqian Xiao,1,2 Yanjie Bai,1 Kexin Sun,2 Jun Wan,2 Limin Chen,2 Shuying Chen,2 Yan Wang,1 Wenjing Li,2 An Liu2 1Rehabilitation Centre of the First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan Province, People’s Republic of China; 2Rehabilitation Medicine College, Henan University of Chinese Medicine, Zhengzhou, People’s Republic of ChinaCorrespondence: Yanjie Bai, Rehabilitation Centre of the First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, 450003, People’s Republic of China, Email baiyj66@126.comObjective: While electroacupuncture (EA) has shown effectiveness in treating learning and memory deficits associated with ischemic stroke (IS), the specific mechanisms involved remain unclear. …”
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The relationship between parental investment and high school students' academic achievement: The mediating role of academic emotions and the moderating role of learning motivation by Jing Qian

“…Unlike previous studies that primarily treated learning motivation as a mediator, this study explores its role as a moderator, assessing whether higher learning motivation strengthens the positive effects of emotional experiences on academic achievement. …”
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Leadership by Learning Design: embrace complexity where it exists by Ray O'Brien, Samuel Mann, Richard Mitchell

“…Learning design can lean upon complexity science to treat learning as a complex adaptive system of interrelated and co-dependent parts. …”
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A value-oriented creative approach to a future science teacher training at the present stage by Aksinya Egorovna Egorova, Marina Petrovna Andreeva

“…What conditions are necessary for the students to treat learning activities as preparation for their future profession?…”
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Evidential deep learning for uncertainty quantification and out-of-distribution detection in jet identification using deep neural networks by Ayush Khot, Xiwei Wang, Avik Roy, Volodymyr Kindratenko, Mark S Neubauer

“…EDL is a DL approach that treats learning as an evidence acquisition process designed to provide confidence (or epistemic uncertainty) about test data. …”
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